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文章基本信息

  • 标题:LOTKA: A program to fit a power law distribution to observed frequency data
  • 本地全文:下载
  • 作者:Brendan Rousseau ; Ronald Rousseau
  • 期刊名称:Cybermetrics : International Journal of Scientometrics, Informetrics and Bibliometrics
  • 电子版ISSN:1137-5019
  • 出版年度:2000
  • 卷号:4
  • 期号:1
  • 出版社:Centro de Informacion y Documentacion Cientifica
  • 摘要:

    LOTKA, a computer program for fitting a power law distribution such as Lotka's is presented. It basically follows Nicholl's methodology : using a maximum likelihood approach to estimate parameters, and a Kolmogorov-Smirnov test for goodness-of-fit. When input data are converted (from rank-frequency to size-frequency) this program can also be used to test Zipf's law. It can be downloaded here.

  • 关键词:computer program; power law distribution; Lotka's law; maximum likelihood estimation; Nicholls' methodology; Kolmogorov-Smirnov test; Zipf
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